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Add more ruff rules (#8767)

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* Add more ruff rules

* Add more ruff rules

* pre-commit: Update ruff v0.0.269 -> v0.0.270

* Apply suggestions from code review

* Fix doctest

* Fix doctest (ignore whitespace)

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

---------

Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
This commit is contained in:
Christian Clauss
2023-05-26 09:34:17 +02:00
committed by GitHub
parent dd3b499bfa
commit 4b79d771cd
67 changed files with 349 additions and 223 deletions
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21
machine_learning/similarity_search.py
View File

@ -97,26 +97,29 @@ def similarity_search(
"""
if dataset.ndim != value_array.ndim:
raise ValueError(
f"Wrong input data's dimensions... dataset : {dataset.ndim}, "
f"value_array : {value_array.ndim}"
msg = (
"Wrong input data's dimensions... "
f"dataset : {dataset.ndim}, value_array : {value_array.ndim}"
)
raise ValueError(msg)
try:
if dataset.shape[1] != value_array.shape[1]:
raise ValueError(
f"Wrong input data's shape... dataset : {dataset.shape[1]}, "
f"value_array : {value_array.shape[1]}"
msg = (
"Wrong input data's shape... "
f"dataset : {dataset.shape[1]}, value_array : {value_array.shape[1]}"
)
raise ValueError(msg)
except IndexError:
if dataset.ndim != value_array.ndim:
raise TypeError("Wrong shape")
if dataset.dtype != value_array.dtype:
raise TypeError(
f"Input data have different datatype... dataset : {dataset.dtype}, "
f"value_array : {value_array.dtype}"
msg = (
"Input data have different datatype... "
f"dataset : {dataset.dtype}, value_array : {value_array.dtype}"
)
raise TypeError(msg)
answer = []

3
machine_learning/support_vector_machines.py
View File

@ -74,7 +74,8 @@ class SVC:
# sklear: def_gamma = 1/(n_features * X.var()) (wiki)
# previously it was 1/(n_features)
else:
raise ValueError(f"Unknown kernel: {kernel}")
msg = f"Unknown kernel: {kernel}"
raise ValueError(msg)
# kernels
def __linear(self, vector1: ndarray, vector2: ndarray) -> float: